Meta is seeking an AI Research Scientist to enhance GenAI models for advertising. The role involves improving content understanding, leveraging multimodal LLMs, and pioneering reinforcement learning techniques to optimize ad creative generation. The position requires a strong background in NLP and LLM research, with a focus on real-world advertising applications.

• 2+ years of experience in NLP or multimodal LLM research and development
• Hands-on experience LLM post-training and/or reinforcement learning (reward modeling, PPO/GRPO, RLHF)
• Strong experience with ML tech stack (e.g., PyTorch, building data pipeline)
• Experience leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
• Demonstrated significant industry influence in the field of AI and/or recently published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)

• Improve content understanding and knowledge for GenAI-powered advertising
• Leverage state-of-the-art multimodal LLMs and agentic models to extract, structure, and retrieve valuable signals that power ad creative generation and optimization
• Pioneer the use of Reinforcement Learning from Human Feedback (RLHF) to post-train LLMs for real-world advertising performance
• Develop RL post-training frameworks that use actual ads data to fine-tune LLMs to generate ad creatives that resonate with users

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.